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Apache Presto MCQs and Answers With Explanation – Apache Presto is an open-source, distributed SQL query engine designed to handle large-scale data processing across a variety of data sources. With its ability to query data in real time, Presto is highly versatile and is used by many companies to support their data analytics and processing needs.
Apache Presto MCQs
To help understand more about Presto, we have compiled a list of 50 Apache Presto MCQs with Answers covering various aspects of Presto such as its architecture, functionality, query optimization, and more. These Apache Presto Multiple Choice Questions will help you gain a deeper understanding of how Presto works and its features. Whether you are a data analyst, data engineer, or a big data enthusiast, this Apache Presto Quiz list will be a useful resource to test your knowledge of Apache Presto.
Apache Presto Multiple Choice Questions and Answers
| Quiz Name | Apache Presto |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 50 Apache Presto MCQs | Practice Online Quiz
1. What is Apache Presto?
A. A distributed SQL query engine
B. A relational database management system
C. A NoSQL database
D. A programming language
Answer: A.
Explanation – Apache Presto is a distributed SQL query engine that allows users to query data where it resides, whether it is in Hadoop, Amazon S3, or other data sources.
2. What is the main advantage of using Presto?
A. High performance
B. Low cost
C. High scalability
D. All of the above
Answer: D.
Explanation – Presto is designed to be fast, scalable, and cost-effective. It can handle petabytes of data and allows users to query it in real-time without the need for expensive data warehouses or ETL processes.
3. What language is used to write Presto?
A. Java
B. Python
C. Ruby
D. C++
Answer: A.
Explanation – Presto is written in Java, which allows it to run on a variety of platforms and integrate with other Java-based technologies.
4. What is the architecture of Presto?
A. Master-Slave
B. Peer-to-Peer
C. Client-Server
D. Hierarchical
Answer: B.
Explanation – Presto uses a peer-to-peer architecture, which means that nodes communicate with each other directly without the need for a central coordinator.
5. What is a Presto connector?
A. A way to connect to different data sources
B. A component that manages Presto nodes
C. A tool for optimizing query performance
D. A module for running Presto on a cluster
Answer: A.
Explanation – A Presto connector is a plugin that allows Presto to connect to various data sources, such as Hive, Cassandra, or MySQL.
6. How does Presto handle security?
A. It uses SSL encryption to secure data in transit
B. It integrates with Kerberos for authentication
C. It provides role-based access control for data
D. All of the above
Answer: D.
Explanation – Presto provides various security features, including SSL encryption, Kerberos integration, and role-based access control for data.
7. What is a Presto coordinator?
A. A component that manages Presto nodes
B. A module for running Presto on a cluster
C. A tool for optimizing query performance
D. A process that receives and coordinates queries
Answer: D.
Explanation – A Presto coordinator is a process that receives and coordinates queries. It is responsible for breaking down a query into tasks and distributing those tasks to worker nodes.
8. What is a Presto worker node?
A. A component that manages Presto nodes
B. A module for running Presto on a cluster
C. A tool for optimizing query performance
D. A process that executes tasks assigned by the coordinator
Answer: D.
Explanation – A Presto worker node is a process that executes tasks assigned by the coordinator. It is responsible for processing data and returning results to the coordinator.
9. What is a Presto query plan?
A. A way to optimize a SQL query
B. A list of tasks that need to be executed to complete a query
C. A way to visualize the data in a table
D. A tool for profiling query performance
Answer: B.
Explanation – A Presto query plan is a list of tasks that need to be executed to complete a query. It is generated by the coordinator and distributed to worker nodes for execution.
10. What is the role of the Presto CLI?
A. To manage Presto nodes
B. To optimize query performance
C. To execute SQL queries
D. To visualize query results
Answer: C.
Explanation – The Presto CLI is a command-line tool that allows users to execute SQL queries against a Presto cluster.
11. What is a Presto catalog?
A. A configuration file that defines data sources
B. A way to organize query results
C. A tool for optimizing query performance
D. A module for running Presto on a cluster
Answer: A.
Explanation – A Presto catalog is a configuration file that defines data sources and how to connect to them. It allows users to specify the schema of their data and how it should be queried.
12. What is a Presto session?
A. A single query execution
B. A set of queries executed by a user
C. A collection of worker nodes
D. A configuration for a specific user or application
Answer: D.
Explanation – A Presto session is a configuration for a specific user or application. It includes settings such as the default catalog and schema, query timeouts, and resource limits.
13. How does Presto handle joins?
A. By performing hash joins
B. By performing merge joins
C. By performing nested loop joins
D. All of the above
Answer: D.
Explanation – Presto supports various join algorithms, including hash joins, merge joins, and nested loop joins. It chooses the best algorithm based on the data and query conditions.
14. How does Presto handle data types?
A. It supports a limited set of data types
B. It can handle complex data types such as arrays and maps
C. It can handle custom data types using connectors
D. All of the above
Answer: D.
Explanation – Presto supports a wide range of data types, including complex types such as arrays and maps. It can also handle custom data types using connectors.
15. What is the role of the Presto coordinator in query optimization?
A. To parse and optimize SQL queries
B. To distribute query tasks to worker nodes
C. To execute query tasks on worker nodes
D. None of the above
Answer: A.
Explanation – The Presto coordinator is responsible for parsing and optimizing SQL queries. It creates a query plan that minimizes data movement and optimizes query performance.
16. What is Presto’s approach to fault tolerance?
A. It relies on redundant hardware to ensure availability
B. It uses data replication to ensure data availability
C. It uses a decentralized architecture to ensure availability
D. It does not provide fault tolerance features
Answer: C.
Explanation – Presto uses a decentralized architecture that provides fault tolerance by distributing data and processing across multiple nodes. If one node fails, the others can continue processing without interruption.
17. What is the role of the Presto query optimizer?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To execute query tasks on worker nodes
D. To manage Presto nodes
Answer: B.
Explanation – The Presto query optimizer is responsible for generating query plans that optimize performance. It considers factors such as data distribution, join algorithms, and filter predicates to minimize data movement and maximize performance.
18. What is the maximum size of a query that Presto can handle?
A. 1 GB
B. 10 GB
C. 100 GB
D. There is no maximum size limit
Answer: D.
Explanation – Presto is designed to handle queries of any size, from small ones to petabyte-scale queries.
19. What is the role of the Presto query coordinator in query execution?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To execute query tasks on worker nodes
D. To manage Presto nodes
Answer: C.
Explanation – The Presto query coordinator is responsible for executing query tasks on worker nodes. It receives query results from worker nodes and aggregates them into a final result set.
20. What is the role of the Presto distributed scheduler?
A. To allocate query resources across worker nodes
B. To distribute data across worker nodes
C. To generate query plans that optimize performance
D. To manage Presto nodes
Answer: A.
Explanation – The Presto distributed scheduler is responsible for allocating query resources across worker nodes. It considers factors such as node availability, query complexity, and query priorities to ensure efficient and effective use of resources.
21. How does Presto handle data security?
A. It encrypts data at rest and in transit
B. It provides role-based access control
C. It supports LDAP and Kerberos authentication
D. All of the above
Answer: D.
Explanation – Presto provides comprehensive data security features, including data encryption, role-based access control, and support for LDAP and Kerberos authentication.
22. What is the role of the Presto coordinator worker?
A. To execute query tasks on worker nodes
B. To manage query resources on worker nodes
C. To coordinate query execution across worker nodes
D. To manage Presto nodes
Answer: C.
Explanation – The Presto coordinator worker is responsible for coordinating query execution across worker nodes. It receives query plans from the coordinator and distributes query tasks to worker nodes.
23. How does Presto handle complex queries?
A. By breaking them down into smaller subqueries
B. By using advanced optimization techniques
C. By using specialized connectors for specific data sources
D. All of the above
Answer: D.
Explanation – Presto handles complex queries by breaking them down into smaller subqueries, using advanced optimization techniques, and utilizing specialized connectors for specific data sources.
24. What is the role of the Presto worker?
A. To execute query tasks assigned by the coordinator
B. To generate query plans that optimize performance
C. To manage query resources on worker nodes
D. To manage Presto nodes
Answer: A.
Explanation – The Presto worker is responsible for executing query tasks assigned by the coordinator. It retrieves data from data sources, processes it, and returns results to the coordinator.
25. What is the role of the Presto plugin?
A. To provide additional functionality to Presto
B. To manage query resources on worker nodes
C. To coordinate query execution across worker nodes
D. To manage Presto nodes
Answer: A.
Explanation – The Presto plugin is used to provide additional functionality to Presto, such as custom functions or connectors for specific data sources.
26. How does Presto handle concurrency?
A. It uses multi-threading to execute queries in parallel
B. It uses multiple worker nodes to execute queries in parallel
C. It uses a combination of multi-threading and multiple worker nodes
D. It does not support concurrency
Answer: C.
Explanation – Presto uses a combination of multi-threading and multiple worker nodes to execute queries in parallel and maximize performance.
27. What is the role of the Presto worker coordinator?
A. To execute query tasks on worker nodes
B. To manage query resources on worker nodes
C. To coordinate query execution across worker nodes
D. To manage Presto nodes
Answer: B.
Explanation – The Presto worker coordinator is responsible for managing query resources on worker nodes. It monitors resource usage and allocates resources as needed to ensure optimal performance.
28. How does Presto handle data consistency?
A. It relies on strong consistency guarantees
B. It provides eventual consistency guarantees
C. It supports both strong and eventual consistency guarantees
D. It does not provide consistency guarantees
Answer: B.
Explanation – Presto provides eventual consistency guarantees, which means that queries may return stale data but will eventually reflect the latest updates.
29. What is the role of the Presto query executor?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To execute query tasks on worker nodes
D. To manage Presto nodes
Answer: C.
Explanation – The Presto query executor is responsible for executing query tasks on worker nodes. It receives query plans from the coordinator and sends query tasks to worker nodes for execution.
30. What is the role of the Presto connector?
A. To provide a unified interface for accessing data sources
B. To manage query resources on worker nodes
C. To coordinate query execution across worker nodes
D. To manage Presto nodes
Answer: A.
Explanation – The Presto connector provides a unified interface for accessing data sources, allowing users to query data from a variety of sources using the same SQL syntax.
31. How does Presto handle data ingestion?
A. It supports batch ingestion only
B. It supports real-time ingestion only
C. It supports both batch and real-time ingestion
D. It does not support data ingestion
Answer: C.
Explanation – Presto supports both batch and real-time ingestion, allowing users to query data as it is ingested.
32. What is the role of the Presto cost-based optimizer?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To execute query tasks on worker nodes
D. To manage Presto nodes
Answer: B.
Explanation – The Presto cost-based optimizer generates query plans that optimize performance by considering factors such as data distribution, join order, and aggregation strategies.
33. What is the role of the Presto query planner?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To execute query tasks on worker nodes
D. To manage Presto nodes
Answer: A.
Explanation – The Presto query planner is responsible for parsing and validating SQL queries, ensuring that they conform to the Presto syntax and can be executed by the Presto engine.
34. How does Presto handle data partitioning?
A. It relies on the data source to provide partitioning information
B. It automatically partitions data based on query requirements
C. It provides a manual partitioning API for users to define partitions
D. It does not support data partitioning
Answer: A.
Explanation – Presto relies on the data source to provide partitioning information, allowing users to query data in parallel across multiple partitions.
35. What is the role of the Presto metadata manager?
A. To store metadata about tables, columns, and data sources
B. To manage query resources on worker nodes
C. To coordinate query execution across worker nodes
D. To manage Presto nodes
Answer: A.
Explanation – The Presto metadata manager stores metadata about tables, columns, and data sources, allowing users to query this information and optimize their queries.
36. How does Presto handle query optimization?
A. It relies on a cost-based optimizer to generate query plans
B. It uses rule-based optimization techniques
C. It uses a combination of cost-based and rule-based optimization
D. It does not support query optimization
Answer: C.
Explanation – Presto uses a combination of cost-based and rule-based optimization to generate query plans that optimize performance.
37. What is the role of the Presto distributed planner?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To execute query tasks on worker nodes
D. To manage Presto nodes
Answer: B.
Explanation – The Presto distributed planner generates query plans that optimize performance across multiple worker nodes, taking into account data distribution, network latency, and other factors.
38. How does Presto handle query cancellation?
A. It allows users to cancel queries using SQL commands
B. It automatically cancels queries that exceed resource limits
C. It provides a manual query cancellation API for users to cancel queries
D. It does not support query cancellation
Answer: A.
Explanation – Presto allows users to cancel queries using SQL commands, giving users control over their query execution.
39. What is the role of the Presto memory manager?
A. To manage query resources on worker nodes
B. To coordinate query execution across worker nodes
C. To manage Presto nodes
D. To manage memory usage during query execution
Answer: D.
Explanation – The Presto memory manager is responsible for managing memory usage during query execution, ensuring that queries do not exceed memory limits and optimizing performance by minimizing memory usage.
40. How does Presto handle concurrency?
A. It relies on the operating system to manage concurrency
B. It uses a distributed lock manager to ensure concurrency
C. It supports multiple concurrent queries using a shared resource pool
D. It does not support concurrency
Answer: C.
Explanation – Presto supports multiple concurrent queries using a shared resource pool, allowing users to execute multiple queries simultaneously while still ensuring fairness and optimal resource usage.
41. What is the role of the Presto security manager?
A. To manage query resources on worker nodes
B. To coordinate query execution across worker nodes
C. To manage Presto nodes
D. To manage security policies and access control
Answer: D.
Explanation – The Presto security manager is responsible for managing security policies and access control, ensuring that users can only access the data and resources they are authorized to access.
42. How does Presto handle metadata caching?
A. It relies on the data source to cache metadata
B. It caches metadata in memory for faster access
C. It uses a distributed metadata cache across worker nodes
D. It does not support metadata caching
Answer: B.
Explanation – Presto caches metadata in memory for faster access, reducing the overhead of querying metadata from the data source for each query.
43. What is the role of the Presto statistics manager?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To collect statistics about data sources for use in query optimization
D. To manage query resources on worker nodes
Answer: C.
Explanation – The Presto statistics manager collects statistics about data sources for use in query optimization, providing information about data distribution, column selectivity, and other factors.
44. How does Presto handle user-defined functions (UDFs)?
A. It supports UDFs written in Java or Python
B. It supports UDFs written in SQL
C. It does not support user-defined functions
D. It supports UDFs written in any language
Answer: A.
Explanation – Presto supports UDFs written in Java or Python, allowing users to extend the functionality of Presto with custom functions.
45. What is the role of the Presto event listener?
A. To parse and validate SQL queries
B. To generate query plans that optimize performance
C. To manage query resources on worker nodes
D. To receive events about query execution
Answer: D.
Explanation – The Presto event listener receives events about query execution, allowing users to monitor and analyze query performance and behavior.
46. How does Presto handle metadata discovery?
A. It relies on the data source to provide metadata
B. It discovers metadata automatically from data sources
C. It provides a manual metadata discovery API for users to define metadata
D. It does not support metadata discovery
Answer: A.
Explanation – Presto relies on the data source to provide metadata, allowing users to query metadata about tables and columns from the data source itself.
47. What is the role of the Presto resource manager?
A. To parse and validate SQL queries
B. To manage query resources on worker nodes
C. To coordinate query execution across worker nodes
D. To manage Presto nodes
Answer: B.
Explanation – The Presto resource manager is responsible for managing query resources on worker nodes, ensuring that queries are executed efficiently and fairly across the cluster.
48. How does Presto handle data formats?
A. It supports a wide range of data formats out of the box
B. It relies on data source-specific formats
C. It provides an API for users to define custom data formats
D. It only supports a limited set of data formats
Answer: A.
Explanation – Presto supports a wide range of data formats out of the box, including CSV, JSON, Avro, Parquet, and more.
49. What is the role of the Presto connector framework?
A. To manage query resources on worker nodes
B. To provide a generic API for accessing data sources
C. To coordinate query execution across worker nodes
D. To provide a generic API for executing SQL queries
Answer: B.
Explanation – The Presto connector framework provides a generic API for accessing data sources, allowing users to connect to a wide range of data sources using the same interface.
50. How does Presto handle query optimization?
A. It relies on the data source to optimize queries
B. It optimizes queries using heuristics and cost-based optimization
C. It uses machine learning algorithms to optimize queries
D. It does not support query optimization
Answer: B
Explanation – Presto optimizes queries using heuristics and cost-based optimization, analyzing query structure, metadata, and statistics to generate an optimal query plan for execution.
The above Apache Presto Multiple Choice Questions cover a range of topics that help in understanding the architecture, functioning, and features of this distributed SQL query engine. From its ability to support multiple data sources and handle complex queries to its optimization capabilities, Presto offers a comprehensive solution for large-scale data processing needs. By answering these Apache Presto MCQs, you can enhance your knowledge about Presto and be better equipped to handle data analytics challenges in your organization. Kindly bookmark our Freshersnow website to receive more updates.